{"id":"https://openalex.org/W1973966220","doi":"https://doi.org/10.1109/icics.2013.6782782","title":"Adaptive Weighted Multi-Element Collaborative Representation for Visual Classification","display_name":"Adaptive Weighted Multi-Element Collaborative Representation for Visual Classification","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W1973966220","doi":"https://doi.org/10.1109/icics.2013.6782782","mag":"1973966220"},"language":"en","primary_location":{"id":"doi:10.1109/icics.2013.6782782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2013.6782782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 9th International Conference on Information, Communications &amp; Signal Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090232371","display_name":"Ganglong Duan","orcid":"https://orcid.org/0000-0001-8822-3177"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ganglong Duan","raw_affiliation_strings":["Department of Management science and engineering, Xi'an University of Technology, Xi'an, China","Dept. of Manage. Sci. & Eng., Xi'an Univ. of Technol., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Management science and engineering, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Dept. of Manage. Sci. & Eng., Xi'an Univ. of Technol., Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101564038","display_name":"Long Wei","orcid":"https://orcid.org/0000-0003-4021-1083"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Wei","raw_affiliation_strings":["Department of Management science and engineering, Xi'an University of Technology, Xi'an, China","Dept. of Manage. Sci. & Eng., Xi'an Univ. of Technol., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Management science and engineering, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Dept. of Manage. Sci. & Eng., Xi'an Univ. of Technol., Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102939225","display_name":"Jianren Wang","orcid":"https://orcid.org/0000-0001-9350-1813"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianren Wang","raw_affiliation_strings":["Department of Management science and engineering, Xi'an University of Technology, Xi'an, China","Dept. of Manage. Sci. & Eng., Xi'an Univ. of Technol., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Management science and engineering, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Dept. of Manage. Sci. & Eng., Xi'an Univ. of Technol., Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101404293","display_name":"Hongqi Wang","orcid":"https://orcid.org/0000-0002-5172-571X"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongqi Wang","raw_affiliation_strings":["Department of Management science and engineering, Xi'an University of Technology, Xi'an, China","Dept. of Manage. Sci. & Eng., Xi'an Univ. of Technol., Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Department of Management science and engineering, Xi'an University of Technology, Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"Dept. of Manage. Sci. & Eng., Xi'an Univ. of Technol., Xi'an, China","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090232371"],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05341063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.9263479709625244},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6925004720687866},{"id":"https://openalex.org/keywords/element","display_name":"Element (criminal law)","score":0.6698819398880005},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.663743257522583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6579349040985107},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6325747966766357},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6253542900085449},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.580690860748291},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.45561158657073975},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4462696313858032},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4227094054222107},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4020461142063141},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1800876259803772}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9263479709625244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6925004720687866},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.6698819398880005},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.663743257522583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6579349040985107},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6325747966766357},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6253542900085449},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.580690860748291},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.45561158657073975},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4462696313858032},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4227094054222107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4020461142063141},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1800876259803772},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icics.2013.6782782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icics.2013.6782782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 9th International Conference on Information, Communications &amp; Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1904464160","https://openalex.org/W2051065934","https://openalex.org/W2052800689","https://openalex.org/W2069959554","https://openalex.org/W2080296254","https://openalex.org/W2097486709","https://openalex.org/W2118297240","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2146047955","https://openalex.org/W2150409012","https://openalex.org/W6663996602","https://openalex.org/W6681521150"],"related_works":["https://openalex.org/W2761785940","https://openalex.org/W2129933262","https://openalex.org/W2898108274","https://openalex.org/W2162970382","https://openalex.org/W2942382086","https://openalex.org/W2444525338","https://openalex.org/W1997235926","https://openalex.org/W2891282097","https://openalex.org/W4310720490","https://openalex.org/W2974328778"],"abstract_inverted_index":{"Adaptive":[0],"Weighted":[1],"Multi-Element":[2],"Collaborative":[3],"Representation":[4],"for":[5,39,65],"Visual":[6],"Classification":[7],"is":[8],"proposed":[9,78],"in":[10],"this":[11],"paper.":[12],"To":[13,41],"address":[14],"the":[15,43,70],"weak":[16],"discriminative":[17,50],"power":[18],"of":[19,76],"SRC":[20],"(sparse":[21],"representation":[22,38],"classifier)":[23],"method,":[24],"we":[25,52],"propose":[26],"using":[27],"multiple":[28,36],"elements":[29],"to":[30,59],"represent":[31],"each":[32],"element":[33,45,63],"and":[34,49,72],"construct":[35],"collaborative":[37],"classification.":[40,66],"reflect":[42],"different":[44,47,62],"with":[46],"importance":[48],"power,":[51],"present":[53],"an":[54],"adaptive":[55],"weighted":[56],"residuals":[57],"method":[58],"linearly":[60],"combine":[61],"representations":[64],"Experimental":[67],"results":[68],"demonstrate":[69],"effectiveness":[71],"better":[73],"classification":[74],"accuracy":[75],"our":[77],"method.":[79]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
